22 assistant-professor-computer-science-data Postdoctoral research jobs at Aarhus University in Denmark
Sort by
Refine Your Search
-
For further information, please contact: Assistant professor Rasmus Kock Flygaard, email: rkf@mbg.au.dk Deadline Applications must be received no later than 24th September 2025. Application procedure
-
services for international researchers and accompanying families, including assistance with relocation and career counselling to expat partners. Please find more information about the International Staff
-
have a PhD degree or must document equivalent qualifications in a relevant field related to natural language processing (NLP), literature, information science, media studies or a closely related domain
-
. Møllers Allé 3, Bldg. 1130, 8000 Aarhus C. The area of employment is Aarhus University with related departments. Contact information For further information please contact Center leader and professor
-
obtained from Professor Davide Cammarano ( davide.cammarano@agro.au.dk ) Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from
-
Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific
-
Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in
-
Aarhus University with related departments. Contact information Before applying or for further information, please contact: Associate Professor Aurelien Dantan, +4523987386, dantan@phys.au.dk . Deadline
-
, Tjele. The affiliation will be with Section of Soil Physics and Hydropedology, Department of Agroecology. More information can be obtained from Associate Professor Shubiao Wu ( wushubiao@agro.au.dk
-
University and Aarhus University Hospital, involving both Health and Science at AU. The overall project will both use an existing clinical cohort, develop the framework for a new cohort and analyse data from